SMERS: Music Emotion Recognition Using Support Vector Regression

@inproceedings{Han2009SMERSME,
  title={SMERS: Music Emotion Recognition Using Support Vector Regression},
  author={Byeong-jun Han and Seungmin Rho and Roger B. Dannenberg and Eenjun Hwang},
  booktitle={ISMIR},
  year={2009}
}
Music emotion plays an important role in music retrieval, mood detection and other music-related applications. Many issues for music emotion recognition have been addressed by different disciplines such as physiology, psychology, cognitive science and musicology. We present a support vector regression (SVR) based music emotion recognition system. The recognition process consists of three steps: (i) seven distinct features are extracted from music; (ii) those features are mapped into eleven… CONTINUE READING

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  • The result indicates the SVR classifier in the polar representation produces satisfactory result which reaches 94.55% accuracy superior to the SVR (in Cartesian) and other machine learning classification algorithms such as.

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References

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